Note: The job is a remote job and is open to candidates in USA. Norstella is a company focused on improving patient access through market-leading companies. The Senior Life Sciences Analyst for Model Training will work at the intersection of clinical expertise and AI development, evaluating model outputs and ensuring their quality and accuracy to support predictive analytics for clients.
Responsibilities
- Evaluate model outputs across clinical, regulatory, and life sciences tasks by rating individual responses, ranking pairs and lists, and rewriting outputs to demonstrate the preferred response
- Define and maintain evaluation rubrics, preference dimensions, and quality criteria (factual accuracy, clinical reasoning quality, etc) that govern model outputs and preference alignment
- Act as an expert-in-the-loop for how life science models are commercialized with clients, including ongoing support for implementation
- Advise and assist with interpretation of model behavior, bridging the desired behavior back to the dataflow inflection point, working with the relevant teams to adjust as needed
- Partner with data scientists and MLEs to walk feedback into data collection pipelines
- Conduct red-team and adversarial evaluation of models, surfacing subtle failure modes — hallucinations, citation errors, unsupported clinical claims, regulatory missteps — that automated metrics cannot reliably catch
- Analyze preference data and model behavior to identify systematic gaps, then partner with the fine-tuning SMEs and the data science team to decide how each gap is addressed through preference data
- Conduct new proofs of concept for novel domain capabilities
- Contribute to Norstella’s knowledge graph and taxonomy work and help design new agentic workflows based on domain-grounded language models
Skills
- Graduate degree in life sciences, medical sciences, computer science or equivalent professional experience
- At least 3 years of professional experience in production-grade life science datasets, including with AI-enabled applications
- Experience working with structured publishing platforms and data tools; comfort with automation concepts
- Experience working with and statistically analysing large and complex data sets, including data cleaning and preprocessing
- Excellent problem-solving skills and the ability to work independently
- Excellent communication skills, especially between technical and non-technical teams
- Experience working with Generative AI, especially LLMs, including agents, throughout the entire software development lifecycle (SDLC)
- Experience creating MCPs and consuming them into Agentic workflows
- Experience in fast-paced, novel product development
Benefits
- Medical and prescription drug benefits
- Health savings accounts or flexible spending accounts
- Dental plans and vision benefits
- Basic life and AD&D Benefits
- 401k retirement plan
- Short- and Long-Term Disability
- Education benefits
- Paid parental leave
- Paid time off
Company Overview
Company H1B Sponsorship